Melamine Recognition: Molecularly Imprinted Polymer for Selective and Sensitive Determination of Melamine in Food Samples.

Mohadese Biabani,Ahmad Nakhaei,Azizollah Nezhadali,Hossein Nakhaei,Adil Denizli

doi:10.1155/2020/8864144

Abstract

In this study, a sensitive and selective sensor is constructed to measure the melamine (MEL) using molecular imprinting polymer (MIP) technique. Chemical and electrochemical techniques are used to construct the MIP and quantitative measurements. The constructed sensor was modified with GO-Fe3O4@SiO2 nanocomposite. Screening and optimization of factors are done using statistical methods, including Plackett–Burman design (PBD) and central composite design (CCD). Under the optimized conditions, an MIP sensor showed a linear range from 5.0 × 10−7 to 1.0 × 10−5 M MEL concentration with a correlation coefficient (R2) of 0.9997. The limit of detection was obtained (0.028 µM) with a highly reproducible response (RSD 2.15%, n = 4). The electrochemical sensor showed good results for the determination of MEL in food samples.

Highlights

Melamine (MEL) (Scheme 1), triamino triazine, is an organic compound with the formula C3H6N6, which contains 67% nitrogen by mass
An electrochemical sensor was developed for the determination of MEL
Cyclic voltammetry (CV) is a reversible electrochemical technique used to study the electrochemical behavior of electroactive species

Summary

Introduction

Melamine (MEL) (Scheme 1), triamino triazine, is an organic compound with the formula C3H6N6, which contains 67% nitrogen by mass. Because of fantastic advantages of chemical methods for constructing MIP and electrochemical methods for determination, their combination can be a smart tool to achieve a new selective and sensitive technique [25,26,27]. Due to the geometric characteristics of MIP/nanoparticles, the penetration of the target molecule into the polymer cavities is increased, resulting in a faster mass transfer rate [32,33,34,35,36] Nanomaterials such as carbon nanotubes (CNTs), graphene oxide (GO), and metal oxide nanoparticles such as ZnO, Fe3O4, CuS, SiO2, and TiO2 are suitable to improve the selectivity and sensitivity of MIPs. In addition, core-shell nanostructures are a kind of new nanomaterials. Multivariate techniques including Plackett–Burman design (PBD) and central composition design (CCD) were used for screening and optimization of the factors affecting the performance of extraction and determination of MEL, respectively

Results and Discussion

Experimental Design

Experimental

Conclusion